NBA predictions Wed, Nov 11

Win probabilities, projected scores and totals for every NBA game, plus player box-score lines. Methodology →

10 games on this slate · 11–4 since Nov 8 (model V6) →

Power rankings: every team's model rating →

‹

Updated 42m ago

Wed, Nov 11 · 7:00 PM ET

#25 Wizards

38.3% 110.7

#23 Pacers

61.7% 114.7

ModelMarket

Spread IND -4.0 IND -4.5

IND win 61.7% 59.1%

Total 225.4 226.5

Biggest factor: Home court · IND +1.8 pts

Wed, Nov 11 · 7:00 PM ET

#13 Cavaliers

45.8% 109.4

#9 Knicks

54.2% 110.8

Projected total 220.2

Biggest factor: Back-to-back (NYK) · CLE +2.0 pts

Wed, Nov 11 · 7:00 PM ET

#2 Celtics

63.3% 111.8

#18 Raptors

36.7% 107.3

Projected total 219.1

Biggest factor: Injuries and absences · BOS +3.4 pts

Wed, Nov 11 · 8:00 PM ET

#1 Spurs

87.3% 123.5

#28 Bulls

12.7% 107.8

ModelMarket

Spread SAS -15.7 SAS -15.5

SAS win 87.3% 83.8%

Total 231.3 238.5

Biggest factor: Home court · CHI +1.8 pts

Wed, Nov 11 · 8:00 PM ET

#16 Nuggets

41.6% 111.6

#12 Grizzlies

58.4% 114.5

ModelMarket

Spread MEM -2.8 DEN -4.5

Total 226.1 228.5

Biggest factor: Home court · MEM +1.8 pts

Wed, Nov 11 · 8:00 PM ET

#3 Lakers

83.7% 121.8

#29 Bucks

16.3% 108.5

Projected total 230.3

Biggest factor: Back-to-back (MIL) · LAL +2.0 pts

Wed, Nov 11 · 8:00 PM ET

#26 Nets

34.7% 109.8

#22 Pelicans

65.3% 115.2

ModelMarket

Spread NOP -5.3 NOP -5.5

NOP win 65.3% 60.0%

Total 225.0 229.5

Biggest factor: Home court · NOP +1.8 pts

Wed, Nov 11 · 9:00 PM ET

#20 Magic

60.4% 112.1

#30 Jazz

39.6% 108.6

Projected total 220.7

Biggest factor: Home court · UTA +1.7 pts

Wed, Nov 11 · 9:30 PM ET

#7 Warriors

42.1% 110.0

#4 Rockets

57.9% 112.6

ModelMarket

Spread HOU -2.6 HOU -5.5

HOU win 57.9% 62.8%

Total 222.6 223.5

Biggest factor: Home court · HOU +1.8 pts

Wed, Nov 11 · 10:00 PM ET

#8 Thunder

52.8% 112.7

#11 Trail Blazers

47.2% 111.7

ModelMarket

Spread OKC -1.0 OKC -2.5

OKC win 52.8% 54.6%

Total 224.3 225.5

Biggest factor: Home court · POR +1.8 pts

	WAS	IND
Offensive ratingpts/100	109.827th of 30	110.823rd of 30
Defensive ratingpts/100	116.826th of 30	114.520th of 30
Net ratingpts/100	-7.025th of 30	-3.723rd of 30
Paceposs/48	100.114th of 30	101.05th of 30

	CLE	NYK
Offensive ratingpts/100	115.57th of 30	115.49th of 30
Defensive ratingpts/100	113.917th of 30	111.76th of 30
Net ratingpts/100	1.611th of 30	3.79th of 30
Paceposs/48	100.017th of 30	97.129th of 30

	BOS	TOR
Offensive ratingpts/100	117.43rd of 30	114.911th of 30
Defensive ratingpts/100	110.45th of 30	112.911th of 30
Net ratingpts/100	7.02nd of 30	2.010th of 30
Paceposs/48	96.930th of 30	99.918th of 30

	SAS	CHI
Offensive ratingpts/100	117.42nd of 30	110.624th of 30
Defensive ratingpts/100	109.22nd of 30	118.430th of 30
Net ratingpts/100	8.21st of 30	-7.830th of 30
Paceposs/48	99.520th of 30	102.91st of 30

	DEN	MEM
Offensive ratingpts/100	116.06th of 30	114.215th of 30
Defensive ratingpts/100	114.822nd of 30	113.513th of 30
Net ratingpts/100	1.313th of 30	0.815th of 30
Paceposs/48	98.426th of 30	100.69th of 30

	LAL	MIL
Offensive ratingpts/100	118.31st of 30	110.225th of 30
Defensive ratingpts/100	113.615th of 30	117.728th of 30
Net ratingpts/100	4.76th of 30	-7.527th of 30
Paceposs/48	100.213th of 30	100.212th of 30

	BKN	NOP
Offensive ratingpts/100	108.529th of 30	112.620th of 30
Defensive ratingpts/100	115.723rd of 30	117.027th of 30
Net ratingpts/100	-7.226th of 30	-4.324th of 30
Paceposs/48	99.422nd of 30	100.97th of 30

	ORL	UTA
Offensive ratingpts/100	111.322nd of 30	108.430th of 30
Defensive ratingpts/100	114.319th of 30	116.125th of 30
Net ratingpts/100	-3.022nd of 30	-7.729th of 30
Paceposs/48	98.824th of 30	101.06th of 30

	GSW	HOU
Offensive ratingpts/100	116.55th of 30	116.84th of 30
Defensive ratingpts/100	112.610th of 30	112.27th of 30
Net ratingpts/100	3.98th of 30	4.67th of 30
Paceposs/48	99.919th of 30	97.727th of 30

	OKC	POR
Offensive ratingpts/100	114.712th of 30	115.210th of 30
Defensive ratingpts/100	109.11st of 30	113.916th of 30
Net ratingpts/100	5.63rd of 30	1.312th of 30
Paceposs/48	99.323rd of 30	101.14th of 30

Points leaders

Luka Dončić33.5 pts
Victor Wembanyama26.6 pts
Stephen Curry25.8 pts
Jayson Tatum24.0 pts
Jalen Brunson23.9 pts

Rank by


LAL @ MIL	33.5	5.7	4.63	8.2	0.35	5.9	6.9	1.53	0.66	3.53
SAS @ CHI	26.6	7.7	1.85	5.7	2.23	7.9	2.9	0.93	3.45	1.80
DEN @ MEM	21.2	7.2	1.18	3.2	1.75	7.6	7.9	1.35	1.32	3.04
BOS @ TOR	24.0	5.2	2.30	6.7	0.47	4.3	6.0	0.76	0.54	2.59
GSW @ HOU	19.3	6.7	0.72	3.7	2.85	5.8	6.7	1.14	1.02	3.03
GSW @ HOU	25.8	3.7	3.77	7.2	0.49	3.3	3.7	1.03	0.08	1.79
CLE @ NYK	23.9	5.7	2.52	5.0	0.74	2.4	4.6	0.70	0.21	1.63
WAS @ IND	21.0	7.4	0.77	3.9	1.85	6.3	2.0	1.09	0.91	1.83
BOS @ TOR	22.3	6.5	1.82	3.8	1.66	4.0	3.6	0.64	0.58	2.04
LAL @ MIL	22.3	5.5	1.93	5.4	0.52	2.8	4.2	0.94	0.24	2.62
DEN @ MEM	22.8	5.4	2.48	4.6	0.78	2.4	4.4	0.84	0.21	2.31
DEN @ MEM	20.5	4.1	2.70	4.2	0.68	4.3	4.6	0.89	0.88	2.22
GSW @ HOU	18.9	4.6	1.23	6.1	0.60	4.8	3.2	0.83	1.28	2.81
DEN @ MEM	16.7	3.7	1.91	3.6	1.53	6.1	5.1	0.64	0.57	2.86
OKC @ POR	21.3	6.0	1.78	3.9	0.37	2.5	3.7	0.82	0.58	1.69
CLE @ NYK	16.9	4.8	1.45	3.0	2.60	7.5	2.8	0.70	0.35	2.29
GSW @ HOU	18.1	4.1	1.90	4.1	2.06	3.7	3.4	1.06	0.55	2.83
ORL @ UTA	17.5	5.3	1.21	3.1	0.84	3.7	5.7	1.05	0.00	2.86
ORL @ UTA	17.9	4.4	1.61	4.2	0.39	2.7	5.9	0.98	0.15	2.90
OKC @ POR	17.7	4.5	1.34	4.7	0.89	4.2	4.6	0.72	0.09	2.42
BKN @ NOP	17.1	4.4	1.25	4.6	1.40	4.2	4.2	0.74	0.24	2.81
WAS @ IND	18.3	5.3	1.55	3.0	0.99	4.9	3.7	0.95	0.11	1.75
WAS @ IND	16.0	2.8	1.77	5.0	0.28	3.1	7.7	1.02	0.16	2.81
LAL @ MIL	19.2	4.2	2.65	2.8	0.90	3.1	4.3	1.00	0.08	2.23
CLE @ NYK	17.9	4.0	2.11	3.5	0.51	3.1	4.4	0.97	0.36	2.17
BOS @ TOR	17.7	3.1	2.74	3.3	0.60	3.2	5.3	1.04	0.00	1.63
BOS @ TOR	17.4	3.6	2.72	2.0	0.63	3.7	3.4	1.50	0.51	2.58
BKN @ NOP	18.3	2.9	2.99	3.5	0.68	5.0	1.3	1.02	0.43	1.74
BKN @ NOP	16.4	5.7	0.17	4.6	1.27	3.1	2.4	1.45	0.39	1.53
WAS @ IND	15.1	3.7	1.89	2.1	0.65	3.7	4.6	0.68	1.24	2.47
SAS @ CHI	16.1	5.1	1.05	2.7	0.86	3.7	4.0	0.76	0.10	1.46
WAS @ IND	16.0	4.9	0.97	3.3	1.13	4.1	2.3	1.03	0.28	1.65
SAS @ CHI	14.9	3.9	1.91	1.4	1.30	3.9	5.0	0.83	0.25	1.98
GSW @ HOU	14.0	5.2	0.23	3.0	2.86	3.6	2.8	1.17	0.46	1.77
BKN @ NOP	14.8	4.5	1.24	2.0	1.02	3.2	4.4	0.90	0.39	2.43
ORL @ UTA	14.2	3.7	0.76	4.4	0.40	4.5	4.0	0.84	0.00	1.94
ORL @ UTA	15.9	2.2	2.89	2.8	1.09	4.3	2.2	0.81	0.44	1.42
CLE @ NYK	15.5	2.6	1.95	4.5	1.43	2.9	2.2	0.91	0.42	1.50
GSW @ HOU	14.6	2.9	2.22	2.1	1.63	4.9	2.3	0.98	0.82	1.22
LAL @ MIL	12.0	4.9	0.00	2.1	2.98	5.7	1.7	1.02	1.76	1.31
WAS @ IND	14.2	3.1	1.80	2.6	0.32	2.0	6.4	0.72	0.23	2.02
GSW @ HOU	15.2	3.0	2.50	1.8	0.95	3.2	3.5	1.21	0.45	1.47
SAS @ CHI	15.3	3.6	1.96	2.2	1.22	3.3	1.8	1.11	0.48	1.71
ORL @ UTA	14.1	3.4	1.71	2.1	1.08	2.5	3.9	1.12	0.64	1.52
CLE @ NYK	13.1	2.0	1.99	3.2	0.44	3.3	4.6	0.69	0.49	2.21
OKC @ POR	14.9	2.3	2.11	3.9	0.53	2.3	3.3	0.64	0.11	1.90
CLE @ NYK	12.8	3.4	1.32	2.0	1.70	4.5	3.1	0.63	0.94	1.44
LAL @ MIL	13.0	2.9	1.47	2.9	2.45	3.3	3.0	0.82	0.20	1.69
SAS @ CHI	11.8	2.9	0.88	3.4	0.55	3.4	5.2	0.99	0.45	2.01
ORL @ UTA	12.3	2.8	1.37	2.6	0.83	3.1	3.5	1.11	0.95	1.77
OKC @ POR	14.4	4.8	0.86	2.2	0.63	2.3	2.6	0.94	0.22	1.20
SAS @ CHI	15.0	2.5	1.72	4.8	0.34	1.8	1.5	0.91	0.00	1.23
LAL @ MIL	12.9	3.4	1.35	2.1	1.48	3.0	2.6	0.69	0.11	1.73
BOS @ TOR	11.7	3.8	0.73	2.0	1.88	4.1	1.7	1.04	0.66	1.67
BOS @ TOR	11.7	2.7	1.61	1.5	0.93	2.1	4.4	1.07	0.55	2.32
GSW @ HOU	12.2	1.6	2.51	1.4	0.60	2.8	4.8	1.07	0.19	1.65
BKN @ NOP	12.8	2.5	1.83	2.3	0.69	3.1	3.0	0.84	0.21	1.44
BKN @ NOP	11.9	3.7	0.81	2.2	0.52	3.1	3.4	0.99	0.36	1.76
SAS @ CHI	9.5	2.5	1.02	1.4	0.77	3.6	6.8	0.59	0.21	2.24
ORL @ UTA	13.7	1.8	2.60	2.2	0.56	2.8	1.7	0.85	0.75	1.60
BOS @ TOR	9.4	1.9	1.26	1.8	0.81	2.2	6.9	1.25	0.26	2.51
ORL @ UTA	12.0	3.1	1.03	2.8	0.86	3.2	2.0	0.58	0.63	1.66
BKN @ NOP	12.9	2.4	1.94	2.4	0.20	1.7	3.4	0.63	0.23	1.72
BKN @ NOP	13.1	2.9	1.50	2.7	0.79	2.5	2.1	0.74	0.14	1.03
DEN @ MEM	10.7	2.2	1.84	0.8	1.31	5.2	2.5	1.26	0.22	1.44
WAS @ IND	13.0	2.3	2.05	2.4	0.60	2.3	2.1	0.90	0.32	1.39
ORL @ UTA	10.0	2.6	0.74	2.6	1.90	5.4	0.9	0.87	0.77	1.20
OKC @ POR	12.0	3.9	0.77	1.9	0.36	2.4	2.8	0.87	0.41	1.46
BKN @ NOP	10.0	3.2	0.22	3.1	0.94	4.4	2.0	0.59	0.65	1.61
BOS @ TOR	12.1	2.1	1.88	2.1	0.67	2.0	3.2	0.73	0.18	1.52
OKC @ POR	9.6	2.8	0.54	2.5	2.69	3.1	1.5	0.75	1.78	1.13
OKC @ POR	11.7	3.7	1.06	1.0	0.96	2.2	3.7	0.69	0.00	1.33
BOS @ TOR	11.7	1.6	2.22	1.8	1.22	2.9	2.1	1.06	0.47	1.08
SAS @ CHI	11.5	2.4	1.50	2.1	0.63	2.8	2.7	1.25	0.25	0.99
LAL @ MIL	11.0	2.4	1.80	0.7	1.18	3.3	2.7	1.06	0.23	1.60
SAS @ CHI	11.3	2.1	1.35	3.0	0.77	3.2	1.8	0.51	0.39	1.61
DEN @ MEM	10.8	2.4	1.15	2.5	1.11	3.1	2.2	0.81	0.39	1.35
ORL @ UTA	10.8	2.9	1.47	0.5	1.46	3.6	2.0	0.82	0.85	1.43
OKC @ POR	8.4	2.5	0.72	1.3	2.76	5.5	1.3	0.44	1.80	1.27
WAS @ IND	8.8	2.4	0.89	1.3	1.69	5.1	1.9	0.89	0.90	1.13
LAL @ MIL	8.0	1.7	1.36	0.5	1.36	4.4	2.7	0.77	2.20	1.77
BKN @ NOP	7.0	2.1	0.36	1.7	2.52	4.0	3.4	0.59	1.48	1.55
CLE @ NYK	10.6	2.9	1.10	1.6	0.96	2.4	2.2	0.71	1.20	1.22
BOS @ TOR	8.7	3.2	0.08	2.0	2.17	4.1	1.5	0.41	1.08	1.06
BOS @ TOR	8.2	3.6	0.00	1.0	2.22	4.8	1.5	0.83	0.99	1.26
LAL @ MIL	9.6	2.5	1.19	1.1	0.94	2.5	3.6	0.68	0.31	1.92
BKN @ NOP	11.2	3.0	1.32	1.3	0.46	1.5	2.6	0.95	0.52	1.48
GSW @ HOU	9.7	2.7	1.11	1.1	1.66	3.2	1.3	0.97	0.92	1.15
SAS @ CHI	9.4	3.1	0.49	1.8	2.05	2.9	2.2	0.68	0.00	1.09
DEN @ MEM	9.7	2.3	1.30	1.2	0.94	2.9	2.1	1.36	0.11	1.28
DEN @ MEM	7.5	2.7	0.04	2.0	2.53	4.5	1.2	0.41	1.26	1.05
LAL @ MIL	10.6	2.6	1.07	2.1	0.72	1.5	2.5	0.57	0.29	1.08
CLE @ NYK	7.8	1.1	1.64	0.6	0.90	4.9	3.1	1.32	0.20	1.50
BKN @ NOP	9.5	1.1	1.82	1.9	0.79	3.6	2.1	0.55	0.00	1.31
GSW @ HOU	9.5	1.2	1.84	1.5	0.98	2.8	2.0	1.21	0.30	1.34
ORL @ UTA	11.6	1.6	2.67	0.4	1.02	2.1	1.3	0.53	0.39	0.99
ORL @ UTA	7.1	2.6	0.02	1.8	1.79	4.1	2.0	0.86	1.11	1.27
ORL @ UTA	8.4	2.5	0.77	1.0	0.70	2.5	3.4	1.11	0.35	1.75
CLE @ NYK	11.1	2.2	2.07	0.5	0.77	2.2	1.4	0.85	0.39	0.96
SAS @ CHI	8.7	1.8	1.43	0.9	1.36	4.5	1.6	0.42	0.84	0.80
OKC @ POR	9.0	1.4	1.56	1.5	0.83	2.4	3.0	0.70	0.17	1.28
CLE @ NYK	8.2	3.0	0.13	1.9	1.48	3.6	1.1	0.49	0.97	0.75
DEN @ MEM	9.6	3.1	0.39	2.3	0.42	2.2	1.9	0.60	0.10	0.90
WAS @ IND	8.5	2.1	0.95	1.5	0.50	2.5	2.6	1.02	0.19	1.07
DEN @ MEM	9.2	1.7	1.64	0.9	0.87	2.6	1.9	0.92	0.00	1.21
DEN @ MEM	8.9	1.8	1.13	1.8	0.73	1.7	3.1	0.55	0.00	1.13
OKC @ POR	9.7	2.2	1.45	0.9	0.67	2.1	1.5	0.78	0.20	1.29
WAS @ IND	9.7	2.2	1.32	1.3	0.68	2.5	1.5	0.44	0.15	0.72
DEN @ MEM	9.3	2.1	1.22	1.4	0.76	1.3	1.9	0.60	0.84	1.01
GSW @ HOU	7.3	2.6	0.10	1.7	1.79	3.7	0.8	0.40	0.87	0.77
LAL @ MIL	8.5	1.8	1.21	1.4	0.81	2.9	1.6	0.69	0.50	0.73
WAS @ IND	6.9	2.6	0.00	1.7	1.65	3.8	1.4	0.41	0.22	1.05
CLE @ NYK	8.2	1.9	1.32	0.5	1.16	3.5	1.6	0.57	0.21	0.87
BKN @ NOP	8.2	1.1	1.09	2.7	0.42	1.3	2.5	0.69	0.44	1.07
WAS @ IND	10.1	2.3	1.62	0.7	0.46	1.8	1.1	0.61	0.08	0.80
GSW @ HOU	3.4	1.0	0.31	0.5	0.89	3.4	5.8	0.98	0.58	2.49
OKC @ POR	5.5	2.2	0.05	0.9	1.96	4.1	2.5	0.81	0.17	1.17
LAL @ MIL	7.5	2.1	0.70	1.1	1.98	2.8	0.9	0.48	0.59	1.14
DEN @ MEM	8.3	2.7	0.60	1.2	1.47	2.5	0.8	0.46	0.56	0.67
SAS @ CHI	8.7	0.4	2.40	0.7	0.44	3.2	1.5	0.81	0.28	0.75
OKC @ POR	8.8	1.1	2.01	0.7	0.91	2.6	1.1	0.63	0.19	1.08
DEN @ MEM	6.8	1.4	1.18	0.6	0.69	1.9	4.4	0.70	0.00	1.40
OKC @ POR	6.5	2.7	0.03	1.0	1.65	3.1	1.3	0.37	1.24	1.20
BOS @ TOR	9.6	1.0	2.12	1.2	1.04	1.8	0.9	0.61	0.00	0.78
OKC @ POR	8.4	1.6	1.05	2.1	0.77	1.3	1.2	0.56	0.13	1.70
WAS @ IND	10.4	0.6	2.82	0.8	0.51	1.5	1.1	0.41	0.00	0.53
SAS @ CHI	8.0	2.5	0.26	2.2	0.65	1.1	2.2	0.61	0.06	0.88
GSW @ HOU	8.8	1.1	2.06	0.4	0.27	1.5	2.1	0.88	0.00	1.02
DEN @ MEM	8.5	1.4	1.55	1.0	0.81	1.9	1.3	0.83	0.14	0.66
LAL @ MIL	7.2	1.3	0.91	2.0	0.49	2.0	2.2	0.78	0.13	0.98
GSW @ HOU	7.8	1.6	1.33	0.5	0.85	2.3	1.5	0.73	0.19	1.14
CLE @ NYK	7.5	1.6	1.26	0.6	0.93	2.0	2.2	0.55	0.28	0.98
WAS @ IND	7.9	1.9	1.01	1.1	0.82	1.8	1.4	0.42	0.72	0.69
CLE @ NYK	7.7	2.0	1.12	0.4	0.76	1.8	1.9	0.68	0.46	0.89
LAL @ MIL	8.5	1.2	1.70	1.0	0.60	1.6	1.4	0.97	0.17	0.49
BOS @ TOR	7.0	1.4	0.91	1.4	1.82	2.1	1.3	0.41	0.45	0.81
BKN @ NOP	7.8	2.2	0.59	1.7	0.78	1.9	1.1	0.53	0.10	0.78
GSW @ HOU	7.4	1.1	1.41	1.0	0.57	1.8	1.8	0.84	0.14	1.32
CLE @ NYK	8.2	0.8	1.86	1.1	0.55	1.6	1.7	0.51	0.15	0.87
ORL @ UTA	7.4	1.9	1.00	0.5	0.71	1.5	2.0	0.66	0.71	0.83
WAS @ IND	6.8	1.3	1.16	0.8	0.70	3.0	1.5	0.51	0.38	0.98
LAL @ MIL	7.6	2.0	0.83	1.2	0.93	2.0	0.8	0.56	0.25	0.83
LAL @ MIL	5.5	1.2	0.77	0.9	1.41	2.3	1.8	1.10	0.60	1.09
CLE @ NYK	8.0	1.3	1.15	1.9	1.07	1.3	0.7	0.34	0.35	0.50
BOS @ TOR	5.5	2.3	0.00	0.9	2.24	2.6	0.8	0.59	0.69	0.72
BKN @ NOP	6.1	1.2	1.02	0.7	0.73	3.4	1.2	0.59	0.37	0.92
ORL @ UTA	7.2	1.1	1.25	1.1	0.62	2.7	0.6	0.52	0.11	0.86
OKC @ POR	5.2	2.2	0.00	0.7	1.51	2.9	1.0	0.53	1.21	0.73
BKN @ NOP	6.8	0.8	1.30	1.2	0.44	1.6	2.1	0.59	0.00	1.14
WAS @ IND	6.1	1.6	0.65	1.0	0.91	2.6	0.9	0.85	0.71	0.68
ORL @ UTA	5.4	1.8	0.15	1.4	0.37	1.6	3.2	0.37	0.00	1.39
ORL @ UTA	4.8	1.9	0.00	0.9	1.86	3.3	0.9	0.46	0.99	0.56
BOS @ TOR	6.0	1.4	0.73	1.0	0.99	1.7	1.5	0.55	0.35	1.20
CLE @ NYK	5.1	2.1	0.03	0.8	1.95	3.1	1.0	0.34	0.37	0.58
CLE @ NYK	5.7	1.3	0.77	0.8	0.60	2.5	2.3	0.57	0.00	0.65
GSW @ HOU	5.7	1.3	0.55	1.5	0.89	2.0	1.2	0.56	0.38	0.73
SAS @ CHI	6.3	1.1	1.08	0.9	0.80	1.2	1.7	0.55	0.32	0.72
LAL @ MIL	6.5	0.3	1.83	0.4	0.58	1.9	1.6	0.43	0.25	0.91
DEN @ MEM	6.1	1.3	0.80	1.0	0.53	2.1	1.0	0.33	0.27	0.91
BKN @ NOP	6.0	1.7	0.74	0.4	0.51	2.0	1.0	0.61	0.23	0.99
OKC @ POR	6.7	0.8	1.41	0.9	0.26	1.3	1.4	0.59	0.06	0.69
BOS @ TOR	5.5	1.0	1.07	0.4	0.91	2.5	1.2	0.63	0.00	0.93
BOS @ TOR	6.4	0.5	1.77	0.1	0.70	2.3	1.1	0.41	0.14	0.52
SAS @ CHI	6.9	0.5	1.41	1.6	0.64	1.1	0.5	0.41	0.23	0.43
ORL @ UTA	6.3	1.3	1.01	0.8	0.48	1.5	1.0	0.39	0.16	0.75
LAL @ MIL	5.7	0.5	1.38	0.6	0.28	1.3	1.1	1.36	0.67	0.69
WAS @ IND	5.2	0.8	0.97	0.7	0.56	2.7	1.1	0.30	0.55	0.57
DEN @ MEM	5.2	1.6	0.14	1.5	0.90	2.0	0.7	0.30	0.54	0.53
OKC @ POR	5.6	0.9	1.08	0.6	0.84	2.1	1.2	0.38	0.05	0.55
BKN @ NOP	6.1	1.6	0.60	1.0	0.58	1.1	1.2	0.36	0.00	0.74
OKC @ POR	6.0	2.0	0.56	0.2	0.45	1.7	1.0	0.66	0.00	0.56
GSW @ HOU	4.6	0.7	0.97	0.2	0.47	2.6	1.5	0.52	0.87	0.71
SAS @ CHI	5.5	1.0	0.57	1.8	0.84	1.1	1.0	0.44	0.21	0.54
DEN @ MEM	4.8	1.1	0.59	0.8	1.03	2.8	0.6	0.49	0.32	0.52
SAS @ CHI	5.2	1.1	0.78	0.6	0.95	2.0	0.9	0.30	0.39	0.71
LAL @ MIL	4.2	0.6	0.55	1.3	0.46	1.4	2.3	0.43	0.03	1.31
OKC @ POR	5.6	0.2	1.34	1.2	0.46	1.3	1.1	0.41	0.12	0.75
OKC @ POR	4.2	0.4	0.93	0.7	0.65	2.2	2.0	0.54	0.20	0.54
SAS @ CHI	5.1	1.1	0.57	1.2	1.11	1.6	0.6	0.37	0.13	0.55
WAS @ IND	3.7	0.7	0.36	1.2	0.88	2.2	1.1	0.63	0.68	0.73
SAS @ CHI	3.3	1.2	0.00	0.9	1.71	2.5	1.1	0.31	0.55	0.52
SAS @ CHI	3.1	1.3	0.00	0.6	0.70	2.4	1.8	0.42	1.15	0.70
ORL @ UTA	3.8	0.8	0.47	0.8	0.94	2.4	1.2	0.62	0.14	0.83
BKN @ NOP	3.2	0.8	0.00	1.5	0.78	2.7	1.1	0.38	0.82	0.62
WAS @ IND	4.4	0.5	0.99	0.5	0.45	1.6	2.0	0.60	0.18	0.72
BKN @ NOP	4.6	0.8	0.68	0.9	0.59	2.3	0.7	0.34	0.31	0.58
OKC @ POR	4.3	0.6	0.68	1.1	0.83	1.6	1.4	0.41	0.32	0.55
DEN @ MEM	4.5	0.9	0.78	0.4	0.79	1.3	1.1	0.41	1.19	0.52
WAS @ IND	3.6	1.6	0.00	0.4	1.66	2.5	0.9	0.30	0.32	0.50
CLE @ NYK	5.4	0.6	1.28	0.4	0.52	1.4	0.9	0.52	0.29	0.48
BKN @ NOP	4.1	0.7	0.80	0.3	0.38	1.4	1.6	0.77	0.94	0.64
CLE @ NYK	5.4	1.9	0.41	0.4	0.92	0.8	0.7	0.33	0.28	0.42
OKC @ POR	4.0	0.3	0.98	0.4	0.28	2.9	1.4	0.50	0.00	0.65
BOS @ TOR	4.4	0.9	0.58	0.8	1.30	1.4	0.7	0.42	0.40	0.34
BKN @ NOP	4.3	0.9	0.62	0.6	0.83	1.2	0.8	0.46	0.23	0.66
WAS @ IND	3.9	0.5	0.84	0.5	0.59	1.9	0.8	0.68	0.14	0.55
OKC @ POR	4.0	1.0	0.52	0.4	1.19	1.6	0.5	0.57	0.12	0.37
BOS @ TOR	3.9	0.7	0.74	0.3	0.79	2.0	0.6	0.46	0.07	0.57
GSW @ HOU	4.2	1.0	0.59	0.5	0.77	0.9	0.9	0.53	0.19	0.50
BOS @ TOR	4.0	0.7	0.59	0.9	0.59	1.7	0.6	0.38	0.14	0.49
CLE @ NYK	2.9	0.6	0.48	0.3	0.38	0.9	3.3	0.38	0.00	0.65
CLE @ NYK	4.5	0.6	0.98	0.3	0.61	1.7	0.6	0.30	0.00	0.36
SAS @ CHI	3.9	1.3	0.30	0.4	0.59	0.6	1.5	0.44	0.00	0.70
OKC @ POR	3.0	0.4	0.40	1.0	0.69	2.2	0.7	0.32	0.36	0.69
DEN @ MEM	4.5	1.7	0.09	0.8	0.42	1.1	0.5	0.28	0.00	0.38
SAS @ CHI	4.0	0.9	0.64	0.2	0.46	1.1	1.2	0.32	0.08	0.62
GSW @ HOU	4.9	0.7	1.09	0.3	0.16	0.4	1.1	0.23	0.00	0.49
SAS @ CHI	4.3	0.4	1.02	0.4	0.42	1.0	0.8	0.30	0.20	0.50
ORL @ UTA	3.7	0.7	0.56	0.7	0.70	1.0	1.0	0.60	0.07	0.46
CLE @ NYK	3.0	0.2	0.60	0.8	0.72	1.4	1.4	0.30	0.26	0.52
OKC @ POR	4.7	1.3	0.60	0.3	0.39	0.4	0.6	0.33	0.00	0.47
WAS @ IND	2.7	0.8	0.21	0.4	0.11	0.9	2.2	0.66	0.19	0.88
WAS @ IND	3.4	1.5	0.00	0.3	0.18	0.9	1.3	0.28	0.38	0.67
SAS @ CHI	4.4	0.6	0.87	0.5	0.14	0.9	0.6	0.21	0.07	0.32
LAL @ MIL	4.2	0.4	1.00	0.4	0.33	0.8	0.7	0.29	0.00	0.32
CLE @ NYK	3.1	0.7	0.50	0.2	0.08	1.0	1.4	0.35	0.26	0.82
DEN @ MEM	3.8	0.5	0.77	0.4	0.30	1.4	0.5	0.26	0.13	0.34
ORL @ UTA	3.7	0.8	0.63	0.2	0.29	0.7	0.8	0.47	0.00	0.41
BKN @ NOP	3.0	0.7	0.25	0.8	0.34	0.8	0.8	0.53	0.19	0.50
SAS @ CHI	3.9	1.3	0.27	0.5	0.26	0.6	0.5	0.20	0.00	0.29
BKN @ NOP	2.2	0.3	0.47	0.2	0.53	1.4	1.3	0.54	0.27	0.54
SAS @ CHI	3.0	0.6	0.51	0.2	0.45	1.5	0.7	0.25	0.00	0.39
GSW @ HOU	2.6	0.7	0.23	0.5	1.16	1.0	0.7	0.31	0.13	0.38
BOS @ TOR	2.5	1.2	0.00	0.2	0.42	0.8	1.1	0.31	0.43	0.56
OKC @ POR	3.2	0.5	0.60	0.5	0.19	1.0	0.8	0.29	0.00	0.39
LAL @ MIL	1.2	0.5	0.00	0.2	0.91	2.4	1.0	0.32	0.44	0.42
ORL @ UTA	2.6	0.9	0.00	0.9	0.64	1.3	0.4	0.18	0.27	0.24
SAS @ CHI	2.1	0.9	0.00	0.4	0.93	1.7	0.5	0.19	0.24	0.44
DEN @ MEM	3.7	1.4	0.18	0.4	0.22	0.5	0.4	0.21	0.00	0.23
DEN @ MEM	2.9	0.6	0.39	0.5	0.09	0.3	1.3	0.38	0.14	0.54
LAL @ MIL	2.6	1.2	0.00	0.2	0.73	1.2	0.7	0.23	0.00	0.28
SAS @ CHI	2.5	0.6	0.29	0.4	0.44	1.0	1.0	0.27	0.00	0.59
GSW @ HOU	3.0	0.4	0.61	0.4	0.14	1.0	0.7	0.27	0.00	0.44
WAS @ IND	2.4	0.3	0.35	0.8	0.30	1.3	0.7	0.37	0.00	0.55
BOS @ TOR	1.8	0.7	0.00	0.5	0.69	1.5	0.6	0.38	0.19	0.39
ORL @ UTA	2.5	0.8	0.19	0.4	0.50	0.9	0.6	0.31	0.00	0.46
CLE @ NYK	2.0	0.9	0.00	0.2	0.89	1.2	0.4	0.16	0.62	0.29
ORL @ UTA	2.9	0.2	0.76	0.2	0.16	0.5	1.0	0.37	0.00	0.43
CLE @ NYK	1.4	0.4	0.14	0.2	0.68	1.2	1.4	0.36	0.29	0.63
OKC @ POR	2.7	0.4	0.45	0.6	0.38	1.0	0.4	0.20	0.14	0.37
BKN @ NOP	2.8	0.4	0.53	0.4	0.29	1.0	0.5	0.25	0.13	0.27
SAS @ CHI	1.1	0.3	0.00	0.6	1.57	1.2	0.5	0.24	0.77	0.29
CLE @ NYK	2.0	0.3	0.38	0.3	0.25	1.5	0.7	0.26	0.24	0.38
BKN @ NOP	2.1	0.9	0.00	0.2	0.27	0.8	0.8	0.21	0.51	0.39
WAS @ IND	2.7	0.4	0.52	0.4	0.23	0.7	0.5	0.21	0.07	0.27
BOS @ TOR	2.0	0.5	0.00	0.9	0.30	0.5	0.9	0.27	0.00	0.53
BOS @ TOR	2.0	0.0	0.59	0.2	0.26	0.7	0.7	0.29	0.53	0.60
DEN @ MEM	2.5	1.0	0.11	0.2	0.17	1.0	0.5	0.15	0.00	0.25
WAS @ IND	2.8	0.9	0.31	0.2	0.07	0.4	0.5	0.22	0.13	0.28
LAL @ MIL	2.7	0.2	0.67	0.3	0.23	0.5	0.6	0.21	0.00	0.29
DEN @ MEM	2.0	0.1	0.48	0.3	0.61	0.6	0.6	0.30	0.40	0.25
ORL @ UTA	1.9	0.4	0.33	0.2	0.34	1.0	0.7	0.15	0.36	0.28
OKC @ POR	2.0	0.6	0.22	0.2	0.29	0.8	0.5	0.18	0.25	0.32
OKC @ POR	2.1	0.5	0.32	0.1	0.16	0.9	0.5	0.34	0.10	0.32
DEN @ MEM	2.6	0.9	0.18	0.3	0.14	0.2	0.5	0.10	0.00	0.23
GSW @ HOU	1.7	0.7	0.00	0.3	0.50	1.0	0.3	0.17	0.10	0.22
BKN @ NOP	1.2	0.2	0.12	0.4	0.27	1.0	1.0	0.22	0.00	0.43
BOS @ TOR	1.9	0.4	0.30	0.2	0.24	0.6	0.5	0.19	0.00	0.37
OKC @ POR	2.2	0.0	0.57	0.5	0.12	0.6	0.4	0.11	0.00	0.22
ORL @ UTA	1.2	0.3	0.09	0.3	0.43	1.2	0.5	0.32	0.00	0.33
CLE @ NYK	1.7	0.5	0.12	0.3	0.22	0.7	0.4	0.16	0.00	0.21
CLE @ NYK	0.7	0.0	0.11	0.3	0.51	1.2	0.7	0.23	0.00	0.28
LAL @ MIL	1.3	0.5	0.00	0.3	0.43	0.4	0.5	0.19	0.00	0.27
OKC @ POR	1.0	0.3	0.02	0.5	0.25	0.6	0.5	0.18	0.10	0.22
ORL @ UTA	1.4	0.6	0.00	0.3	0.23	0.5	0.3	0.10	0.18	0.14
BKN @ NOP	1.4	0.6	0.00	0.2	0.33	0.3	0.3	0.15	0.20	0.18
BOS @ TOR	1.5	0.4	0.11	0.3	0.18	0.5	0.2	0.09	0.00	0.20
LAL @ MIL	0.6	0.1	0.04	0.2	0.57	0.8	0.5	0.28	0.00	0.33
GSW @ HOU	0.9	0.3	0.02	0.2	0.27	0.9	0.3	0.23	0.08	0.25
DEN @ MEM	0.9	0.2	0.15	0.1	0.19	0.6	0.5	0.15	0.00	0.25
GSW @ HOU	1.0	0.0	0.29	0.1	0.09	0.3	0.2	0.13	0.55	0.15
DEN @ MEM	1.0	0.0	0.14	0.6	0.09	0.4	0.3	0.10	0.00	0.15
LAL @ MIL	1.1	0.1	0.28	0.2	0.13	0.4	0.3	0.10	0.00	0.13
GSW @ HOU	1.0	0.3	0.12	0.1	0.25	0.4	0.2	0.11	0.00	0.14
WAS @ IND	0.8	0.2	0.05	0.3	0.35	0.2	0.3	0.11	0.00	0.16
LAL @ MIL	0.6	0.2	0.00	0.2	0.25	0.8	0.2	0.11	0.00	0.11
ORL @ UTA	0.6	0.2	0.00	0.2	0.24	0.5	0.2	0.11	0.00	0.14
LAL @ MIL	0.8	0.2	0.07	0.2	0.14	0.2	0.3	0.09	0.00	0.13
LAL @ MIL	0.9	0.0	0.17	0.3	0.03	0.3	0.2	0.08	0.00	0.10
WAS @ IND	0.8	0.3	0.00	0.2	0.09	0.3	0.2	0.05	0.00	0.09
GSW @ HOU	0.9	0.3	0.10	0.1	0.07	0.1	0.2	0.08	0.00	0.13
DEN @ MEM	0.6	0.2	0.00	0.1	0.07	0.2	0.4	0.10	0.00	0.16
DEN @ MEM	0.7	0.0	0.19	0.1	0.09	0.4	0.2	0.07	0.00	0.11
LAL @ MIL	0.7	0.2	0.08	0.1	0.06	0.2	0.1	0.05	0.23	0.08
BOS @ TOR	0.2	0.0	0.00	0.2	0.09	0.2	0.2	0.07	0.00	0.13
CLE @ NYK	0.1	0.0	0.00	0.1	0.04	0.1	0.1	0.03	0.00	0.05
BOS @ TOR	0.1	0.0	0.00	0.1	0.03	0.1	0.1	0.02	0.00	0.05

Games

Model vs market

How the numbers are built

Team comparison

Who is out

Conditions

How the numbers are built

Team comparison

Who is out

Conditions

How the numbers are built

Team comparison

Who is out

Conditions

Model vs market

How the numbers are built

Team comparison

Who is out

Conditions

Model vs market

How the numbers are built

Team comparison

Who is out

Conditions

How the numbers are built

Team comparison

Who is out

Conditions

Model vs market

How the numbers are built

Team comparison

Who is out

Conditions

How the numbers are built

Team comparison

Who is out

Conditions

Model vs market

How the numbers are built

Team comparison

Who is out

Conditions

Model vs market

How the numbers are built

Team comparison

Who is out

Conditions

Players

Points leaders